Industry 4.0 is no longer optionalβit's survival
The reality? Manufacturers that don't embrace AI will be outproduced and outpriced within 5 years.
Fixed-time, fixed-budget AI solutions for manufacturing
We're not another industrial IT vendor with 2-year implementations. We deliver working solutions.
Fix it before it breaks - Machine failure prediction with ML - Remaining useful life estimation - Maintenance scheduling optimization - Spare parts inventory optimization - Condition monitoring with IoT sensors - Reduce unplanned downtime by 50-70%
Catch defects humans miss - Automated visual inspection with computer vision - Real-time defect detection and classification - Root cause analysis for quality issues - Statistical process control with AI - Supplier quality prediction - Reduce defect rates by 40-60%
The right materials, at the right time, at the right cost - Demand forecasting for production planning - Supplier risk assessment and monitoring - Inventory optimization across the supply chain - Logistics and routing optimization - Lead time prediction and buffer management - Reduce supply chain costs by 15-25%
Get more output from existing assets - OEE improvement and bottleneck detection - Production scheduling optimization - Energy consumption optimization - Yield improvement with process optimization - Real-time production monitoring dashboards - Increase throughput by 15-25%
Connect your shop floor to intelligence - IoT sensor deployment and integration - Edge computing for real-time analytics - PLC and SCADA system integration - Digital twin development - Robotics process automation - Machine-to-machine communication
Turn factory data into competitive advantage - Real-time production dashboards - Performance benchmarking across plants - Cost analytics and margin optimization - Workforce productivity analysis - Sustainability and emissions tracking - Executive reporting and KPI monitoring
From assessment to Industry 4.0 roadmap - Digital maturity assessment - Smart factory strategy development - Technology roadmap and vendor selection - ROI modeling and business case development - Change management and workforce readiness - Pilot program design
Fixed 4-week sprint delivery for working products - Production monitoring dashboards - Quality inspection systems - Maintenance management platforms - IoT data collection and visualization - ERP/MES integration - Cloud deployment with industrial-grade reliability
Custom AI in 4-week sprint cycles - Predictive maintenance models - Computer vision for quality inspection - Demand forecasting and production planning - Process optimization models - Energy optimization algorithms - Anomaly detection for equipment and quality
Challenge: - High unplanned downtime (15% of production time) - Quality escapes costing millions in recalls - Manual inspection unable to keep pace - Energy costs rising faster than margins
di-factory Solution:
Phase 1 - Consulting (4 weeks) - Plant assessment and opportunity mapping - Priority use case selection - Technology and integration roadmap
Phase 2 - MVP Development (4 weeks) - Real-time production monitoring dashboard - IoT sensor integration for critical equipment - Alert and notification system
Phase 3 - AI Enhancement (4 weeks) - Predictive maintenance for critical machines - Computer vision quality inspection - Energy optimization model
Expected Results: - 60% reduction in unplanned downtime - 45% decrease in quality escapes - 20% improvement in OEE - 15% reduction in energy costs - Major annual savings from optimization
Prove value on a single line or machine - Single use case implementation (4 weeks) - Measurable impact on key manufacturing metric - Foundation for plant-wide rollout - Ideal for: Risk mitigation, stakeholder buy-in
Comprehensive smart factory deployment - 8-12 week program with multiple AI solutions - Integration across production systems - Full ROI realization - Ideal for: Committed Industry 4.0 initiatives
Multi-plant standardization and scaling - Dedicated team and platform - Rolling sprints across facilities - Center of excellence development - Ideal for: Multi-site manufacturers
4-week sprints Β· GO/NO-GO memo your board can sign - Digital-factory maturity assessment across production, quality, supply chain - OT/IT integration gap analysis - Predictive-maintenance program benchmark vs. industry leaders - Data readiness for AI/ML deployment - Supply-chain resilience diagnostic
4-week sprints Β· production-ready, your team owns the code - Plant-floor operations console - Maintenance work-order workflow - Quality-inspection mobile app - Supplier-collaboration portal - Warehouse/inventory front-end
2β4 weeks per model Β· your data, your infra, your team learns alongside - Predictive maintenance (equipment failure) - Quality-defect detection (computer vision) - Demand forecast + production planning - Supply-chain risk scoring - Energy/yield optimization - Coordinated model suite (6β8 weeks Β· 2β3 models with shared eval harness)
Every engagement is fixed timeline, fixed scope. Code + models + docs delivered to your team. Investment sized to your data + integration reality β shared on the first call.
With di-factory, you can: - Deploy predictive maintenance in weeks, not years - Catch quality issues before they reach customers - Optimize production without massive capital investment - Compete with the most advanced factories globally
The manufacturers that embrace AI now will lead their industries.
Ready to accelerate your smart manufacturing journey?
Website: di-factory.biz Email: contact@di-factory.biz Phone: +52 55 1357 0947 LinkedIn: linkedin.com/company/difactory
Fixed time. Fixed budget. Real results.